An Efficient Sparse Representation Algorithm for DOA Estimation in MIMO Radar System

Xianpeng Wang, Luyun Wang, Xiumei Li1, Guoan Bi2

  • 1Hangzhou Normal University
  • 2Nanyang Technological University

Details

11:30 - 12:45 | Wed 6 Jul | Salisbury A | S12.6

Session: Role of Sparsity in Communication

Abstract

In this paper, an efficient sparse representation algorithm for direction of arrival (DOA) estimation in a multiple-input multiple-output (MIMO) Radar system is proposed. The proposed method converts the received data into a low-dimensional real-valued one by exploiting the characteristic of MIMO radar system. Then the DOA estimation is realized via the reweighting l1 norm minimization algorithm. Compared with l1-SVD and real-valued l1-SVD algorithm, the proposed method provides better angle estimation performance for both uncorrelated targets and correlated targets. Simulation results verify the effectiveness and advantage of the proposed method.